Some questions to the author, if he reads HN:

> Nvidia is literally paying for datacenter construction, which means paying other companies to buy their chips.

Does Nvidia pay more than it receives from datacenter construction?

> A great website to bookmark and keep an eye on is: isaiprofitable. At the bottom, you’ll see that Nvidia (selling pans, shovels, and blue jeans) is the only company making money.

Have you considered that:

1) There are many other companies making a lot of money? Examples: NVIDIA, Micron, TSMC, Broadcom, AMD, SK Hynix, ASML...

2) The hyperscalers (Google, Microsoft, Amazon) are profitable?

Article was posted on July 4th, 2023.

LLMs may not think, but they do reason.

I say that because the word "reason" originates from the Latin word "ratio," which means "calculation".

LLMs do calculations to produce their answers -- thus, they reason.

Honestly the word think is so poorly defined it cannot be used with any scientific rigor and is rather useless without a dissertation being posed with it on what you actually mean by that. Intelligence really needs one too.

If 1 person of AI will be able to replace 5-10, we can expect a replacement of 80-90%.

But I don't see why it couldn't replace thousands, with design/content factories.

So it could be 99-99.9% (leaving all the money for the top 0.1%).

> I'm not sure about coders but for artists I don't think a massive number were making anime waifus, but instead were making graphic designs for advertisements, publications & websites.

There was an old joke among designers that their biggest competitor was the boss' nephew playing with photoshop.

Now they need to compete with the boss' nephew playing with AI.

Technically, AI can introduce rounds of fact-checking, proofreading, etc.

But even without that, AI-generated text is already better than what most humans can write -- particularly when they need something fast, cheap and good.

(It might not be "excellent" -- but humans wouldn't be able to make it fast and cheap...)

Of course if the text is made with care and re-read by a human it will be okay even if ai generated.

But I frequently encounter two issues:

1. Careless text generation, that was never read and so the human never prompted the LLm for proofreading and so on, this results in a text/readme/documentation that is using way too much words to describe simple or mildly complex things

2. LinkedIn post/corporate-trying-to-seem-friendly type of text that is always writing like it has to convince you of something (frequent user of the "it's not just X - It's y" trope)

I find that for most AI generated texts, it defaults to my 2nd point, and the human often doesn't read it or is happy with it, whereas I would have been much happier reading the shorter version they would have written instead.

Or just give me the prompt directly

No, aesthetics really don't come into play in graphic design classes. Students learn, and are expected to follow, the technical rules of design just like CS students learn general concepts of programming. You would probably fail your class if you decided to come up with a brand new data storage concept instead of using a database. Hierarchy of information, typographic consistency, grid structure, and information density.

Suppose you have a budget of $20.

Do you think you will find good artists working for that fee?

I don't think so, unless they are working to prove a point -- that humans can be as good as AI.

And that's the problem:

Humans can be as good as AI, but they are much more expensive.

Would someone who's "trying to get started in design" be able to make anything as good as these AI posters? And how would they survive in a world where machines can do their job for free?

I suppose human artists will continue to exist, but they will be like chess players: they will continue to exist simply because they love art, but they won't be able to compete with AI.

ETA: less than 2 years.